With Neptune sunsetting its AI developer platform on March 5, 2026, many AI teams need to migrate experiment tracking and model development workflows without losing data or slowing down delivery. In this technical webinar, Hesham Assabahi, Senior AI Solutions Engineer, Weights & Biases, and Uma Krishnaswamy, Senior AI Engineer, Weights & Biases, will walk through how to migrate from Neptune to Weights & Biases using Python, preserve experiment history, and re-establish reliable workflows on a production-ready AI platform built for the long term.
What to expect
A technical comparison of Neptune and Weights & Biases runs, projects, workspaces, metadata, and artifacts
A live demo showing how to migrate experiments from Neptune to Weights & Biases using a Python script
A walkthrough of the Weights & Biases UI, focused on experiment analysis, debugging, and collaboration
Live Q&A covering migration strategy, pricing, and technical support
What you’ll learn
How Neptune objects map to Weights & Biases primitives and how to plan a structured migration
How to migrate runs, metrics, and configs while retaining historical experiment context
Best practices for organizing projects, teams, and workspaces in Weights & Biases
How to use Weights & Biases features like Reports, saved views, and workspaces to analyze experiments faster and reduce manual overhead
How Weights & Biases supports teams during and after migration
Who should attend
AI and machine learning engineers, platform engineers, and other AI leaders who are currently using the Neptune experiment tracking platform.
